Advances in Digital Health and Medical Bioengineering

Name: Advances in Digital Health and Medical Bioengineering | Proceedings of the 11th International Conference on E-Health and Bioengineering, EHB-2023, November 9-10, 2023, Bucharest, Romania - Volume 1: Medical Devices, Measurements, and Artificial Intelligence Applications
Brand: Springer
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Proceedings of the 11th International Conference on E-Health and Bioengineering, EHB-2023, November 9-10, 2023, Bucharest, Romania - Volume 1: Medical Devices, Measurements, and Artificial Intelligence Applications

Hariton-Nicolae Costin Ratko Magjarevic Gladiola Gabriela Petroiu(Herausgeber*in)

Springer (Verlag)

1. Auflage

Erschienen am 29. August 2024

XXV, 826 Seiten

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978-3-031-62502-2 (ISBN)

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Inhalt

Intro
Preface
Organization
Contents
Medical Devices, Instrumentation, and Measurements
Optimizing Magnetic Fields and Coil Designs for Magnetic Hyperthermia - Breast Cancer Treatment
1 Introduction
2 Database and Methods
2.1 Aims and Objectives
2.2 Conditions to Be Considered
2.3 Methods and Simulation
3 Results
4 Conclusions
References
Using LabVIEW in Neural Network Modeling
1 Introduction
2 Related Works
3 Experimental Study
3.1 Methodology of Cybersemiotic Modeling in LabVIEW
3.2 Cybersemiotic Model Structure
4 Conclusions
References
Comparing Perfusion Index Between Fingers During Short-Term Hypoxemia: Implications for SpO2 Monitoring
1 Introduction
2 Methods
2.1 Study Group
2.2 Interventions
2.3 Statistical Analysis
3 Results
4 Discussion
5 Conclusion
References
Group Delay Effect Analysis Between Arterial Blood Pressure and Photoplethysmography Waveforms
1 Introduction
2 Database and Methods
2.1 Signals Acquisition
2.2 Measurement Method
3 Results
4 Conclusions
References
Considerations for Controlling a Bionic Hand Using EMG Sensors
1 Introduction
2 Database and Methods
2.1 The Bionic Hand Controlled via Accelerometers
2.2 The Bionic Hand Controlled by Means of Myoelectric Signals
3 Results
4 Conclusions
References
Cloud Anchors-Based Localization in a Navigation System for Visually Impaired People
1 Introduction
2 Related Work
2.1 Navigation Systems for VIP
2.2 Cloud Anchors-Based Localization
3 System Requirements and Architecture
3.1 System Requirements
3.2 System Architecture
4 Evaluation of the Localization Solution
4.1 Evaluation of the Localization with One Cloud Anchor
4.2 Evaluation of the Localization with Multiple Cloud Anchors
4.3 Rendering the User's Position on a Virtual 2D Map
5 Conclusions
References
Electronic Phantom for Wall Shear Rate Emulation
1 Introduction
2 The Electronic Phantom for WSR
2.1 The Signal Model
2.2 The Hardware
3 Experiments
3.1 Experimental Set-Up
3.2 Results
4 Conclusion
References
Comparison of Wrist Positions and Assessment Techniques to Evaluate Disynaptic Group I Inhibition
1 Introduction
2 Materials and Methods
2.1 Participants
2.2 Experimental Protocol
2.3 Data Analysis
2.4 Statistical Analysis
3 Results
3.1 H-Reflex Conditioning-Test Paradigm
3.2 Modulation of On-Going EMG
4 Discussion and Conclusions
References
Flexible Self-Poled P(VDF-TrFE)/SnO2 Composite Piezoelectric Film for Energy Harvesting and Wearable Sensors
1 Introduction
2 Experimental Details
3 Results and Discussions
4 Conclusion
References
Assessment of Different Biosignals with Potential Benefits in Robotic Assisted Neuromotor Rehabilitation
1 Introduction
2 Current and Future Trends in Robotic Rehabilitation
3 Future-Proofing Robotic Rehabilitation: Integration Strategies
3.1 Biosignals of Interest in the Medical Rehabilitation of Patients with Neuromotor Deficit
3.2 Adaptable Intelligent Algorithms
3.3 Critical Elements in Biosignal Monitoring
4 Discussion and Conclusions
References
DNN Surrogate Towards Fast Ablation Zone Prediction in Thermal Ablation
1 Introduction
2 Models and Methods
2.1 PDE Model
2.2 DNN Model: Feasibility Test Case for Performance Speed up
3 Results
4 Outlook and Conclusion
References
Creation of Physical Breast Phantom for Educational Purposes
1 Introduction
2 Materials and Methods
2.1 Computational Model
2.2 Physical Model
2.3 Mammography Unit and Imaging Protocols
3 Results
4 Conclusions
References
Overview of Non-invasive Blood Glucose Measurement Techniques
1 Introduction
2 Database and Methods
3 Basic Measuring Methods
3.1 Spectroscopy
3.2 Optical Coherence Tomography
3.3 Photoplethysmography
4 Results
4.1 Infrared Spectroscopy
4.2 Raman Spectroscopy
4.3 Optical Coherence Spectroscopy
4.4 Photoplethysmography
4.5 Photoacoustic Measurements
4.6 Electrochemical Measurements
4.7 Bioimpedance Measurements
5 Discussion
6 Conclusions
References
Review of Non-Invasive Analysis of Blood Components
1 Introduction
2 Methodology
3 Current Research in Blood Analysis
3.1 Cholesterol
3.2 Hemoglobin
3.3 Troponin
3.4 Multi-component Analysis
4 Discussion
5 Conclusions
References
State-of-the-Art Analysis of Cuffless Methods for Blood Pressure Measurement
1 Introduction
2 Methods
3 Results
3.1 Contact-Based Alternatives
3.2 Contactless Alternatives
4 Discussion and Conclusion
References
Investigating the Suitable Materials for the Creation of Breast Lesions: A Simulation Study
1 Introduction
2 Software and Methods
2.1 Creation of Computational Model
2.2 Simulation Experiments
2.3 Evaluation of Models
3 Results
4 Conclusions
References
Sensitivity Analysis and Uncertainty Quantification of Effective Models for Microwave Thermal Ablation of Liver Tumors
1 Introduction
2 Model and Methods
2.1 Microwave Ablation Model
2.2 Model Parameters Included in Study
2.3 Sensitivity Analysis
2.4 Uncertainty Quantification
3 Numerical Results
3.1 Sensitivity Analysis
3.2 Uncertainty Quantification
4 Conclusions
References
A New System to Monitor Arteriovenous Fistula
1 Introduction
2 Materials and Methods
2.1 The Sensor
2.2 Signal Processing and Analysis
3 Results
4 Conclusions
References
Minimal Forcemyography Human-Machine Interface for Hand Gesture Recognition
1 Introduction
2 Materials and Methods
2.1 FMG-Based HMI
2.2 Data Segmentation, Features Extraction and Hand Gesture Classification
3 Results
4 Conclusions and Discussion
References
On the Development of an Innovative Surgical Parallel Robotic System
1 Introduction
2 Materials and Methods
2.1 The Innovative Parallel Robotic System Used for SILS
2.2 Control System Architecture
2.3 The Hardware System Architecture of the PARA-SILSROB
2.4 PARA-SILSROB Master-Slave Architecture
3 Results
4 Conclusions
References
Ocular Torticollis Detection and Management Based on OpenPose
1 Introduction
2 Methods
3 Results
References
Development of a Portable Heart Rate Monitoring Device
1 Introduction
2 Materials and Methods
2.1 Components and Supplies
2.2 Design and Connections
2.3 Experimental Procedure
2.4 Data Transmission and Recording
3 Results
4 Conclusions
References
Is Innovation Crucial for the Artificial Respiration System Market? A Strategic Portfolio Assessment
1 Introduction
1.1 Methodology
2 Results
2.1 BCG Analysis of Solutions for Artificial Respiration
3 Conclusions
References
Methodology and Sensor Technology for Hydration Monitoring
1 Introduction
2 Theoretical Background
3 Methods for Physical Assessments
3.1 Bioelectrical Impedance Analysis (BIA)
3.2 Bioimpedance Spectroscopy (BIS)
3.3 Sonography
4 Biochemical Methods
4.1 Urine Analysis
4.2 Blood Analysis
4.3 Deuterium Dilution Method (DDM)
5 Multisensory Approaches
5.1 Data Fusion
5.2 Combination of Multisensory Approaches
6 Discussion
6.1 Biochemical Methods
6.2 Physical Assessments
6.3 Multisensory Methods
7 Conclusions
References
Noninvasive System for Glucose Monitoring Based on the Galvanic Skin Response (GSR)
1 Introduction
2 Materials and Methods
2.1 The Electrical Model of the Skin
3 Results
3.1 Data Analysis
3.2 Correlation and Linear Regression
4 Conclusions
References
Factors Influencing Adoption of High-Value Innovation in Medical Technology Industry
1 Introduction
2 Literature Review
2.1 Research and Development
2.2 Business Management System
2.3 Entrepreneurship Orientation and Dynamics
2.4 Business Process Management
2.5 Product Portfolio Management
2.6 Service Delivery Management
2.7 Factors of High-Value Innovation
2.8 Definition of Medical Technology
2.9 Definition of High-Value Innovation
2.10 Research Objectives
2.11 Research Questions
2.12 Hypotheses
3 Research Methodology and Approach
4 Conceptual Framework
5 Data Analysis
6 Summary of Hypothesis Testing
7 Limitations and Scope for Future Research
8 Conclusions
References
Hardware Parameters for Trust Mechanisms in MIoT
1 Introduction
2 Related Work
3 Trust Calculation Methods
4 Parameter for Trust Calculation
5 Conclusions
6 Future Work
References
Pothole Detection Using Jetson Nano Embedded System - An Evaluation of Training Models
1 Introduction
2 Database and Methods
3 Results
4 Conclusions
References
Smart Healthcare System
1 Introduction
2 System Description
2.1 Description of the System
2.2 Toothbrush Description
2.3 Brushing Model
2.4 Pillbox Description
3 Results
4 Conclusions
References
A LabVIEW and P300 Speller Based Brain-Computer Interface for Controlling a Robotic Arm and a Mobile Robot by Using the GTEC Unicorn Headset
1 Introduction
2 Hardware System - Unicorn EEG and Robot System
2.1 GTEC Unicorn Headset with 8 EEG Sensors
2.2 Mechatronic System - Robot Arm and Mobile Robot
3 Software System - Labview and P300 Speller
3.1 The P300 Speller Unicorn - Customized Platform
3.2 The LabVIEW Application for Brain-Computer Interface
4 Results and Discussions
5 Conclusions
References
Electroencephalograph or/and BCI: The Next Frontier of At-Home Monitoring
1 Introduction
2 Electroencephalograph Technologies and Applications
3 Electroencephalograph Implementation
3.1 Hardware Implementation
3.2 Software Implementation
4 Results
5 Conclusions
References
On Authentication in Virtual Reality Environments for Rehabilitation and Psychotherapy Systems
1 Introduction
2 Authentication Perspective for VR
2.1 Information-Based Authentication
2.2 Authentication Using Coordinated 3D Manipulation
2.3 Biometric Data Authentication
3 Proposed Method
4 Results and Conclusions
References
An Economic Approach to Precise Vein Detection and Visualization
1 Introduction
2 Vein Detection Prototype
2.1 Mechanical Approach
2.2 Sensing and Electronics
2.3 Software Algorithms
3 Experiments and Results
4 Conclusions
References
fNIRS Monitoring During Carotid Artery Stenting for Outcomes Prediction
1 Introduction
2 Database and Methods
2.1 Patients Recruitment
2.2 fNIRS Recording
2.3 fNIRS Data Analysis
3 Results
4 Conclusions
References
Innovative Apnea Monitoring System Using Flow and Thermoelectric Respiratory Sensors with Energy Harvesting
1 Introduction
2 Apnea Monitoring System
2.1 State-of-Art in Apnea Monitoring Systems
2.2 Apnea Monitoring System - Technical Description
3 Results
3.1 Preliminary Determination of Exhaled Air Energy
3.2 Breath Energy Recovery Circuit
4 Conclusions
References
Multi-use Floating Platform for Emergency Situations
1 Introduction
2 Brief History of Mobile Health Units
3 System Overview
3.1 Materials
3.2 Architecture
3.3 Used Technologies
4 Results
5 Discussion
6 Conclusions
References
Medical System Based on Physical Therapy Robotic Assistance for Developing Motor Skills
1 Introduction
2 Hardware and Methods
2.1 Hardware
2.2 Methods
3 Results
4 Conclusions
References
Medical Device for Transcutaneous Bilirubin Measurements
1 Introduction
2 Hardware Architecture and Methods
2.1 Materials and Methods
2.2 Device Calibration
3 Results
4 Conclusions
References
Automatic Monitoring of Driver's Physiological Parameters by Using a Smart Steering Wheel
1 Introduction
2 Hardware and Methods
2.1 Hardware
2.2 Software
3 Results
4 Conclusion
References
Low-Cost Device for Transcutaneous Visualization of Veins
1 Introduction
2 Materials and Methods
2.1 Device Description
2.2 Image Processing
3 Materials and Methods
4 Conclusions
References
Design of an Electronic Fall Detection Device for Orthopedic Walker Users
1 Introduction
2 Database and Methods
2.1 Methods
3 Results
4 Conclusions
References
MediQApp: Advanced Integration of Risk Digitization in E-Health and E-Learning Domains
1 Introduction
2 Method and Implementation
3 Future Perspectives
4 Conclusions
References
Solutions to Reduce Electromagnetic Interference Inside Anesthesia and Intensive Care Units
1 Introduction
2 Equipment and Method
3 Results
4 Conclusions
References
Decision Support Systems, Artificial Intelligence, Learning
Machine Learning for Diagnosis of Pancreatic Ductal Adenocarcinoma Using Urine Samples
1 Introduction
2 Methodology
2.1 Dataset
2.2 Tools and Technology
2.3 Analysis and Machine Learning
3 Results
4 Conclusion and Future Perspectives
References
Comparative Analysis of Machine Learning Clustering Methods for Electroretinogram
1 Introduction
2 Materials and Methods
2.1 Database Description
2.2 Clustering Methods
2.3 Clustering Evaluation
3 Results
3.1 Clustering Algorithms Comparison
3.2 Signal Source Classification Accuracy
4 Discussion and Conclusions
References
Predicting Breast Cancer Survival Rate Based on Genetic Data: A Machine Learning Approach
1 Introduction
2 Dataset and Methods
2.1 Dataset
2.2 Methodology
3 Results
4 Conclusions
References
Automatic Directory Service Integration in Distributed Firewall Resources: A Study of Scripting and LDAP Integration with pfSense
1 Introduction
2 Related Work
3 Proposed Design
4 Results
5 Conclusion and Future Work
References
Improvement and Evaluation of Emergency Trauma Management Using Interactive Simulation
1 Introduction
2 Materials and Methods
2.1 Trauma Scenarios
2.2 Participants
2.3 Data Analysis
3 Results
3.1 Prehospital Pelvic Trauma Management
3.2 Hospital Pelvic Trauma Management
3.3 Prehospital Lower Limb Trauma Management
3.4 Hospital Lower Limb Trauma Management
4 Conclusions
References
Detection of Acute Myeloid Leukemia Using Deep Learning Models Based Systems
1 Introduction
2 Database and Methods
2.1 Database
2.2 Model Development
2.3 Image Preprocessing and Augmentation
2.4 Model Performance Metrics
3 Results
4 Conclusions
References
Improvements in Patients with Vestibular Disorders by Using Virtual Reality
1 Introduction
2 Methods
2.1 Criteria for Selection of Studies
2.2 Research Question
3 Results
4 Discussion
5 Conclusions
References
Exploring Effective Approaches on Transformer-Based Neural Models for Multi-clinical Large-Scale Cardiotocogram Data
1 Introduction
2 Related Works
3 Cardiotocogram
4 Neural Network Models
5 Dataset
5.1 Large-Scale Clinical Data
5.2 Labeling of Outcomes and Denoising
6 Approach
6.1 Signal Preprocessing
6.2 Data Augmentation
6.3 Model Comparison and Hyperparameters
7 Results
7.1 Results Using Signal Preprocessing
7.2 Effect of Proposed Data Augmentation
7.3 Comparison Between Models
8 Discussion/Future Work
References
Muscle Fatigue Identification Using a Time Frequency Deep Autoencoder
1 Introduction
2 The Proposed Method
3 Experimental Results
3.1 Extracted Time Frequency Deep Features
3.2 Muscle Fatigue Identification
3.3 Threshold for Fatigued Muscle Discrimination
4 Conclusions
References
Tumor Evolution Prediction Based on Mathematical Models
1 Introduction
2 Tumor Growth Model
3 Results and Discussions
4 Conclusions
References
Ovarian Cancer Detection with Popular AI Algorithms: A Brief Review
1 Introduction
2 Algorithms
2.1 Classical Approach
2.2 Current Approach
3 Data
4 Results
5 Conclusion
References
Comparison of the Performance of Statistical and Spectral Feature Based Models for Embedded Cough Detection Using Accelerometry Data
1 Introduction
2 Data Collection and Procedure
3 Data Processing and Feature Extraction
4 Classification Models
4.1 Statistical Features
4.2 Spectral Features
5 Results and Discussion
6 Conclusion
References
Assessing the Feasibility of Cough Detection Using Statistical Features Extracted from Accelerometry Data
1 Introduction
2 Data Collection Procedure
3 Data Processing
4 Classification Models
4.1 Multi-class Classification
4.2 Binary Classification
5 Results and Discussion
6 Conclusion
References
A Data-Driven Method to Perform Personas Validation Using Clustering Consensus Metrics
1 Introduction
2 Methods
2.1 Personas Creation
2.2 Personas Validation
2.3 Personas Creation and Validation on Sample Data
3 Results
4 Discussion and Conclusions
References
Emotional Disturbances and Obesity: A Machine Learning Approach to Predictive Modeling
1 Introduction
2 Database and Methods
3 Statistical Results
4 Predictive Modeling Using Machine Learning Tools
5 Results
6 Conclusions
References
Software for Laboratory Test: FARM-Framework for Activity Real-Time Monitoring
1 Introduction
2 Software Design and Considerations
2.1 Considerations
2.2 Software Design
3 Evaluation
4 Conclusion
5 Future Work
References
Analysis, Implementation, and Assessment of a Serious Game for Smoking Cessation: Investigating Design and Playtesting Outcomes
1 Introduction
2 Methods
3 Results
3.1 Online Survey
3.2 Prototype
3.3 Playtests
4 Discussion and Future Work
References
Analysis of Security Methods for Medical Data in Cloud Systems
1 Introduction
2 Technologies for the Protection of Digital Data
2.1 Cloud Computing
2.2 Blockchain Technology
2.3 Quantum Cryptography
3 Blockchain in the Medical Field
4 Results
4.1 Securing Medical Sensitive Data in Cloud
4.2 Medical File Management Using Blockchain Technology
5 Conclusions
References
ComorbiViz: A Tool for Visualizing Comorbidity Risks and Costs Associated with Obesity
1 Introduction
2 Related Works
3 Methodology
3.1 Data Set and Machine Learning Model
3.2 User Experience Research
3.3 Use Cases
3.4 User Interface and User Flow
3.5 Wireframe Prototyping
4 Design and Implementation
5 Impact
6 Conclusion
References
Blockchain Use for Innovative Bengee System for Medical Products
1 Introduction
2 Literature Review
3 The Use of Blockchain for Bengee System
3.1 Bengee
3.2 Bengee Blockchain
4 Conclusion
References
CNN-LSTM Fusion: An Intelligent Framework for Classifying Heart Failure Severity
1 Introduction
2 Database and Methods
2.1 Database
2.2 Pre-processing
2.3 The Method
3 Results
4 Conclusions
References
Interpreting Deep Patient Stratification Models with Topological Data Analysis
1 Introduction
2 Preliminaries
2.1 Topological Data Analysis
2.2 DL Based Stratification Models
3 Relevant Work
4 Method
4.1 Selecting Mapper Parameters
4.2 Data
5 Results
6 Conclusions
References
An Investigative Approach to the Correlation and Prevalence of Peripheral Artery Disease in Diabetics in India
1 Introduction
2 Literature Review
2.1 Diabetes
2.2 Heart Attack
2.3 Peripheral Artery Disease
2.4 AI/ML in Detection
3 Research Objectives
4 Research Questions
5 Research Methodology and Approach
6 Conceptual Framework
7 Research Findings
8 Implications for Theory and Practice
9 Limitations and Scope for Future Research
10 Conclusion
References
Detection of Cardiac Arrhythmias Using Unsupervised Learning: A Preliminary Approach Based on PAM and CLARA Clustering Algorithms
1 Introduction
2 Database and Methods
2.1 Dataset
2.2 Related Studies
2.3 Experimental Model
2.4 Internal and External Evaluation Metrics
3 Results
4 Conclusions
References
Experience and Acceptance of AI, Expert Systems and Robots in Medical Fields
1 Introduction
2 State of the Art
2.1 Survey on Medical Students
2.2 Virtual Patient Simulation
2.3 AI Implementations for Creating Personalized Feedback
2.4 Learning About AI
3 State of the Art in Health-Related Fields
3.1 PARO
3.2 Humanoid AI Robot
4 Discussion and Review
5 Conclusion
References
A Mapper-Based Classifier for Patient Subgroup Prediction
1 Introduction
2 Preliminaries
2.1 Mapper Algorithm
2.2 kNN Algorithm
3 The Proposed Method
4 Results
4.1 Datasets
4.2 Evaluation
4.3 Weighting of the MkNN Model
4.4 Baseline
5 Conclusions
References
Machine Learning-Based Indices Assessing Different Aspects of Beta-Cell Function in Pregnancy
1 Introduction
2 Methods
2.1 Dataset
2.2 Study Design
2.3 Development Predictive Equations for Model-Based Beta-Cell Function Parameters
2.4 Feature Selection
2.5 Models Training and Selection
2.6 Statistical Analysis
3 Results
3.1 Glucose Sensitivity (G-Sens)
3.2 Rate Sensitivity (R-Sens)
3.3 Potentiation Factor Ratio (PFR)
4 Discussion
References
Virtual Heartbeats, Real Expertise - Concept and Implementation of a Virtual Reality ECG-Training-Simulator
1 Introduction
2 Theoretical Background
3 Concept
4 Implementation
4.1 Scene Design of the Examination Room
4.2 Main Menu
4.3 Examination Room
5 Study Design
6 Issues and Future Work
7 Conclusion
References
Assessing the Adoption and Challenges of Electronic Health Records and Information Systems in Honduran Hospitals
1 Introduction
2 Methods
3 Results
4 Conclusion
References
The Transformative Role of Large Language Models in Medicine
1 Introduction
2 Database and Methods
3 Results of the Systematic Review
3.1 Natural Language Processing in Healthcare
3.2 Data Analysis and Predictive Modeling
3.3 Decision Support Systems
3.4 Ethical Considerations and Challenges
3.5 Case Studies and Practical Applications
4 Results of the ChatGPT Plus Experiment
5 Discussion and Conclusions
References
AnatomyLab - Web Application for Romanian Medical Students to Learn the Human Body Anatomy
1 Introduction
2 Fundamentals of the Design and Development
2.1 Similar Apps
2.2 Description of the Proposed App
3 Conclusions
References
Empowering Trust: Decentralization's Role in Transforming Electronic Product Information
1 Introduction
2 ePI Database and Methods
3 Results: PharmaLedger Solution
4 Conclusions
References
Bridging the Gap: Deep Learning EEG-Based Applications for Schizophrenia Classification and Management
1 Introduction
2 Related Works
3 Personalized Management of Schizophrenia Through Remote Health Monitoring Solutions
4 Database and Methods for Schizophrenia Classification
4.1 Data Collection and Processing
4.2 Methods
5 Results
6 Conclusion
References
Wi-Fi CSI-Based Fall Detection Using CNN with Advanced Decision Mechanism
1 Introduction
2 Database and Methods
2.1 Activity CSI Datasets AND Preprocessing
2.2 CNN Classifier for Fall Detection
2.3 Advanced Decision Mechanism for Enhanced Detection
3 Results
3.1 Evaluation of ADM-Enhanced CNN
3.2 ADM-Enhanced CNN Against Literature Models
4 Conclusions
References
Integration of Digital Twin Models with Systems Medicine for Eye Diseases
1 Introduction
1.1 Systems Medicine
1.2 Digital Twin
2 Systems Medicine and Digital Twin in Ophthalmology
3 Architectural Framework for Digital Twin in Ophthalmology
4 Digital Twin Application
5 Discussion
6 Conclusions
References
Ocular Disease Recognition Using TinyML for Efficient Android Implementation
1 Introduction
2 Previous Work
3 Data and TinyML CNN Models
3.1 Dataset
3.2 TinyML CNN Models
4 Results
5 Conclusions
References
A Data Modeling Process for Achieving Interoperability
1 Introduction
2 The Case of Hl7 FHIR Standard
3 Related Studies
4 Proposed Methodology
4.1 Identifying the Use Case
4.2 Resource and Terminology Clarification
4.3 Understanding the Standard's Structure and Design of the Resources
4.4 Model Creation
4.5 Search Parameters and Query Rules
4.6 Validation and Testing
5 Conclusions
References
Couples Coping Enhancement Training: A Mobile Relationship Education Program
1 Introduction
2 Context and Scope
2.1 Couples Coping Enhancement Training (CCET)
2.2 Design Requirements for CCET
2.3 Technical Implementation Details
2.4 User Workflow
3 Results
3.1 CCET for Smartphone
3.2 Limitations
3.3 Summary
4 Conclusions
References
The Future of Therapy: A Study on Emotion Recognition Solutions Using NAO Robot
1 Introduction
1.1 Social Robots
1.2 Emotion Recognition Solutions
2 Datasets
2.1 FER2013 Dataset
2.2 Own Dataset (RER2023 Dataset)
3 Experiments and Results
3.1 Experiment Description
3.2 Results and Discussions
4 Conclusions
References
CNN-Based Approach for Accurate Parkinson's Disease Detection from Gait Analysis Data
1 Introduction
2 Materials and Methods
2.1 Concepts Overview
2.2 Methodology Overview
2.3 Model Architecture
3 Experimental Results
3.1 Data Overview
3.2 Training
3.3 Model Performance
4 Discussion and Conclusions
References
Remote Monitoring of Neurodegenerative Patients Through Enhanced EMG Signal Processing
1 Introduction
2 Literature Review
3 Methodology
4 Results and Discussion
5 Conclusion and Future Directions
References
Feasibility of Meal Onset Detection Using Electrocardiograms
1 Introduction
2 Methodology
2.1 Data Acquisition
2.2 Proposed Approach
3 Results and Discussion
3.1 Experimental Results
3.2 Discussion
4 Conclusion
References
Diabetic Retinopathy Detection: A Machine-Learning Approach Based on Continuous Glucose Monitoring Metrics
1 Introduction
2 Database and Methods
2.1 Dataset
2.2 Data Preprocessing and Feature Extraction
2.3 Formulation of the Classification Model
2.4 Statistical Analysis and Performance Evaluation
3 Results
4 Discussion and Conclusions
References
Individual Estimation of Parameters Describing the Glucose-Insulin Regulatory System: A Modeling Approach with Regularization for Reduced-Sampling Oral Glucose Tolerance Test Data
1 Introduction
2 Methods
2.1 Modeling Approach and Regularization
2.2 Individual Estimation of Model Parameters for the Case of 5-Samples OGTT
2.3 Individual Estimation of Model Parameters for the Case of 4-Samples OGTT
2.4 Validation of the Modeling Approach for the Two Different OGTT Protocols
3 Results
4 Discussion
References
EEG Classification Using Hybrid Convolutional Neural Network with Attention Mechanism
1 Introduction
2 Proposed Approach
2.1 Overview
2.2 Data Pre-processing
2.3 Attention Mechanism
2.4 Model Architectures
3 Experimental Results
3.1 Data Sets
3.2 Metrics and Validation
3.3 Parameter Tuning
3.4 Results Comparison
3.5 Discussion
4 Conclusions
References
Deep Learning-Based Multiple Skin Lesion Classification
1 Introduction
2 Dataset and Methods
2.1 Dataset
2.2 Data Preprocessing
2.3 Model Architecture
2.4 Model Training
3 Experimental Results
4 Conclusions
References
Virtual Reality and Eye-Tracking Based Vision Screening - A Bibliometric Study
1 Introduction
2 About the Searches
3 Analysis
3.1 Publications Trends and Top Sources
3.2 Bibliographic Coupling Analysis (BCA), Co-occurrence of All Keywords and Most Cited Countries
4 Discussion and Future Research
5 Conclusions
References
Classification of Maternal Health Risks Using Machine Learning Methods
1 Introduction
2 Related Work
2.1 Related Work in AI
2.2 Related Work in Clinical Practice
3 Methods
3.1 Data Collection
3.2 IBM Watson Studio
3.3 Classification Metrics
3.4 Website: Early Maternal Health Risk Predictions
4 Results
4.1 Results Using IBM Watson's AutoAI
4.2 Results Using Jupyter Notebook on Watson Studio
4.3 Medical Perspective of Feature Importance
5 Conclusions
References
Author Index

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